Context of Violence in Adolescence Cohort (CoVAC) study: protocol for a mixed methods longitudinal study in Uganda

Karen Devries, Jenny Parkes, Louise Knight, Elizabeth Allen, Sophie Namy, Simone Datzberger, Winifred Nalukenge, Lydia Atuhaire, Nambusi Kyegombe, Eddy Walakira, Janet Seeley, Helen A Weiss, Dipak Naker, Karen Devries, Jenny Parkes, Louise Knight, Elizabeth Allen, Sophie Namy, Simone Datzberger, Winifred Nalukenge, Lydia Atuhaire, Nambusi Kyegombe, Eddy Walakira, Janet Seeley, Helen A Weiss, Dipak Naker

Abstract

Background: Violence exposure in adolescence is associated with a range of poor health and social outcomes, including both the perpetration and experience of violence in later intimate relationships. However, there is little longitudinal evidence on how both individual and contextual characteristics encourage or interrupt these associations. We designed the Contexts of Violence in Adolescence Cohort study (CoVAC) to provide evidence on these pathways for Ugandan adolescents, with the aim of providing information to improve the design of violence prevention interventions for adolescents and young adults.

Methods: CoVAC is a mixed-methods prospective cohort study with three parallel strands. Between 2014 and 2022, the study comprises three waves of quantitative survey data collection; qualitative data from five time points; and a series of workshops to facilitate direct use of emerging findings by intervention developers at Uganda-based NGO Raising Voices in their ongoing work to prevent violence. 3431 adolescents participated in a survey in 2014 when the majority were aged 11-14 years, and agreed to be re-contacted for a Wave 2 survey in 2018 (aged about 15-18 years); and again in 2021 (aged 18-21 years). 36 young people from Wave 1 survey sample will be invited to participate in longitudinal qualitative data collection. Adolescents aged 18 years and over will provide informed consent; for those under age 18 years, adolescents will be invited to assent, except in cases where caregivers, following notification, have opted not to consent to their adolescent's participation. Quantitative and qualitative data will be analysed iteratively, and triangulation will be used to confirm, clarify and deepen our interpretation of findings. We will hold regular structured meetings so that emerging findings can be integrated into intervention development.

Discussion: This will be the first longitudinal study on the aetiology of violence over adolescence in sub-Saharan Africa which will enable examination of pathways using mixed methods at multiple time points. Quantitative mediation analysis, and annual qualitative fieldwork will provide detailed insights into how adolescents' violence-related experiences, perspectives and practices relate to their social contexts and how these change over time. Results will feed directly into intervention development to reduce violence and harmful sequelae.

Trial registration: This study is a long-term follow up of participants in the Good Schools Study (NCT01678846, clinicaltrials.gov). This protocol is for cohort follow-up only; we have a separate protocol paper describing an evaluation of the long-term effects of the Good School Toolkit (In preparation).

Keywords: Child abuse; Cohort; Gender; Intimate partner violence; Longitudinal; Mixed methodology implementation science; Uganda; Violence; Violence at school.

Conflict of interest statement

Dipak Naker (Raising Voices) developed the Good School Toolkit. Sophie Namy was previously employed by Raising Voices. All other authors declare no conflict of interest.

Figures

Fig. 1
Fig. 1
Summary of exposures, outcomes and contexts in CoVAC
Fig. 2
Fig. 2
Eco-social theoretical framing, with protective factors against later violence use and experience, explored in our study
Fig. 3
Fig. 3
Summary of data collection over time
Fig. 4
Fig. 4
Summary of referral pathways

References

    1. Hillis S, et al. Global prevalence of past-year violence against children: a systematic review and minimum estimates. Pediatrics. 2016;137(3):e20154079. doi: 10.1542/peds.2015-4079.
    1. Devries, K., et al., The global prevalence of intimate partner violence. Science, 2013. Express online, June 20, 2013.
    1. Abramsky T, et al. What factors are associated with recent intimate partner violence? Findings from the WHO multi-country study on women's health and domestic violence. BMC Public Health. 2011;11:109. doi: 10.1186/1471-2458-11-109.
    1. Fulu E, et al. Prevalence of and factors associated with male perpetration of intimate partner violence: findings from the UN multi-country cross-sectional study on men and violence in Asia and the Pacific. Lancet Glob Health. 2013;1(4):e187–e207. doi: 10.1016/S2214-109X(13)70074-3.
    1. Jewkes R, et al. Prevalence of and factors associated with non-partner rape perpetration: findings from the UN multi-country cross-sectional study on men and violence in Asia and the Pacific. Lancet Glob Health. 2013;1(4):e208–e218. doi: 10.1016/S2214-109X(13)70069-X.
    1. Moffitt TE, Caspi A, Findings About Partner Violence From the Dunedin Multidisciplinary Health and Development Study. National Institute of Justice: Research in Brief. NCJ. 1999:170018.
    1. Fang X, Corso PS. Child maltreatment, youth violence, and intimate partner violence: developmental relationships. Am J Prev Med. 2007;33(4):281–290. doi: 10.1016/j.amepre.2007.06.003.
    1. Uganda Bureau of Statistics . National Population and Housing Census 2014 - Main Report. Kampala: Uganda Bureau of Statistics; 2016.
    1. UNESCO. UNESCO Education Indicators Uganda 2017 [cited 2019 08/06/2019]; Available from: .
    1. UNDP . Human Development Indices and Indicators. Uganda: 2018 Statistical Update; 2018.
    1. IHME. GBD compare: Uganda. 2017 [cited; Available from: .
    1. Ministry of Gender, L.a.S.D. Violence against Children in Uganda: Findings from a National Survey. Kampala, Uganda: 2018, UNICEF; 2015.
    1. Devries K, et al. School violence, mental health and educational performance in Ugandan primary school children: a cross-sectional survey. Pediatrics. 2013;133(1):1–9. doi: 10.1542/peds.2012-3862.
    1. Devries, K.M., et al., The Good School Toolkit for reducing physical violence from school staff to primary school students: A cluster-randomised controlled trial in Uganda. Lancet Global Health, accepted.
    1. World Health Organization . INSPIRE: Seven Strategies for Ending Violence Against Children. Geneva: World Health Organization; 2016.
    1. Devries KM, et al. The good school toolkit for reducing physical violence from school staff to primary school students: a cluster-randomised controlled trial in Uganda. Lancet Global Health. 2015;3(7):E378–E386. doi: 10.1016/S2214-109X(15)00060-1.
    1. Parkes J. Gender violence in poverty contexts: the educational challenge. London: Routledge; 2015.
    1. Krieger N. Theories for social epidemiology in the 21st century: an ecosocial perspective. Int J Epidemiol. 2001;30(4):668–677. doi: 10.1093/ije/30.4.668.
    1. Parkes J, et al. Conceptualizing gender and violence in research: insights from studies in schools and communities in Kenya, Ghana and Mozambique. Int J Educ Dev. 2013;33(6):546–556. doi: 10.1016/j.ijedudev.2013.01.001.
    1. Anderson K. Theorising gender in intimate partner violence research. Sex Roles. 2005;52:853–865. doi: 10.1007/s11199-005-4204-x.
    1. Bourdieu P, Wacquant L. An Invitation to Reflexive Sociology. Chicago: University of Chicago Press; 1992.
    1. Davies B, Harré R. Positioning and personhood, in Positioning Theory, R.H.a.L.v. Langenhove. Oxford: Blackwell; 1999.
    1. Parkes J. The power of talk: transformative possibilities in researching violence with children. Int J Soc Res Methodol. 2008;11(4):293–306. doi: 10.1080/13645570701401321.
    1. Parkes J, et al. Between tradition and modernity: girls’ talk about sexual relationships and violence in Kenya, Ghana and Mozambique. Comparative Educ. 2016;52(2):157–176. doi: 10.1080/03050068.2016.1142741.
    1. (UNCST), U.N.C.f.S.a.T . National Guidelines for Research involving Humans as Research Participants. Kampala, Uganda: UNCST; 2014.
    1. Madans Jennifer H, Loeb Mitchell E, Altman Barbara M. Measuring disability and monitoring the UN Convention on the Rights of Persons with Disabilities: the work of the Washington Group on Disability Statistics. BMC Public Health. 2011;11(Suppl 4):S4. doi: 10.1186/1471-2458-11-S4-S4.
    1. Joyce HD, Early TJ. The impact of school connectedness and teacher support on depressive symptoms in adolescents: a multilevel analysis. Child Youth Serv Rev. 2014;39:101–107. doi: 10.1016/j.childyouth.2014.02.005.
    1. Blair AH, et al. The alcohol use disorders identification test (AUDIT): exploring the factor structure and cutoff thresholds in a representative post-conflict population in northern Uganda. Alcohol Alcohol. 2017;52(3):318–327.
    1. Knight L, et al. Implementation of the good school toolkit in Uganda: a quantitative process evaluation of a successful violence prevention program. BMC Public Health. 2018;18(1):608. doi: 10.1186/s12889-018-5462-1.
    1. Version, I.-C.T.I.C.A.S.T.C., ICAST-C: The IPSCAN Child Abuse Screening Tool—Child Version. 2006, International Society for the Prevention of child abuse and neglect: Aurora, CO.
    1. Garcia-Moreno C, et al. Violence against women. Science. 2005;310(5752):1282–1283. doi: 10.1126/science.1121400.
    1. Wolfe DA, et al. Child maltreatment: risk of adjustment problems and dating violence in adolescence. J Am Acad Child Adolesc Psychiatry. 2001;40(3):282–289. doi: 10.1097/00004583-200103000-00007.
    1. Antônio Tiago, Hokoda Audrey. Gender Variations in Dating Violence and Positive Conflict Resolution Among Mexican Adolescents. Violence and Victims. 2009;24(4):533–545. doi: 10.1891/0886-6708.24.4.533.
    1. Merrill KG, et al. Effects of a violence prevention intervention in schools and surrounding communities: secondary analysis of a cluster randomised-controlled trial in Uganda. Child Abuse Negl. 2018;84:182–195. doi: 10.1016/j.chiabu.2018.06.007.
    1. Vu L, et al. Inequitable Gender Norms From Early Adolescence to Young Adulthood in Uganda: Tool Validation and Differences Across Age Groups. J Adolesc Health. 2017;60(2s2):S15–s21. doi: 10.1016/j.jadohealth.2016.09.027.
    1. Goodman R. Psychometric properties of the strengths and difficulties questionnaire. J Am Acad Child Adolesc Psychiatry. 2001;40(11):1337–1345. doi: 10.1097/00004583-200111000-00015.
    1. Goodman R, et al. Using the strengths and difficulties questionnaire (SDQ) to screen for child psychiatric disorders in a community sample. Br J Psychiatry. 2000;177:534–539. doi: 10.1192/bjp.177.6.534.
    1. Johnson JG, et al. The patient health questionnaire for adolescents: validation of an instrument for the assessment of mental disorders among adolescent primary care patients. J Adolesc Health. 2002;30(3):196–204. doi: 10.1016/S1054-139X(01)00333-0.
    1. Uganda Bureau of Statistics and MEASURE DHS. Uganda DHS Survey 2011. Calverton, Maryland, USA: 2012, Uganda Bureau of Statistics and MEASURE DHS.
    1. Fritz M, Mackinnon D. Required sample size to detect the mediated effect. Psychol Sci. 2007;18(3):233–239. doi: 10.1111/j.1467-9280.2007.01882.x.
    1. Heslop J, et al. Making meaning from data on school-related gender-based violence by examining discourse and practice: insights from a mixed methodology study in Ghana and Mozambique. Compare. 2017.
    1. Burke Johnson R. A. Onwuegbuzie, and L. turner, Towards a definition of mixed methods research. J Mixed Methods Res. 2007;1(2):112–133. doi: 10.1177/1558689806298224.
    1. Devries K, et al. “I never expected that it would happen, coming to ask me such questions” :ethical aspects of asking children about violence in resource poor settings. Trials. 2015;16:516. doi: 10.1186/s13063-015-1004-7.
    1. WHO, INSPIRE: Seven Strategies for Ending violence Against Children. 2016: Geneva Switzerland.
    1. Abramsky T, et al. Findings from the SASA! Study: a cluster randomized controlled trial to assess the impact of a community mobilization intervention to prevent violence against women and reduce HIV risk in Kampala, Uganda. BMC Med. 2014;12(1):122. doi: 10.1186/s12916-014-0122-5.
    1. Uganda Bureau of Statistics - UBOS and ICF . Uganda Demographic and Health Survey 2016. Kampala, Uganda: UBOS and ICF; 2018.

Source: PubMed

3
Subscribe